Welcome to the latest update on quantum computing, where funding gains, fresh research, and new products continue to move the field forward. You’ll probably notice that this time, Nvidia (NVDA) plays a key role in several of these advances, from software speedups to new hardware links. Still, other firms and investors are also driving momentum with record funding rounds, commercial rollouts, and growing interest in quantum ETFs.
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IQM Lands Record Series B
We begin with IQM Quantum Computers, which closed a $320 million Series B round, bringing total funding to $600 million. The round was led by Ten Eleven Ventures, which is IQM’s first investor from the U.S. Other backers included Tesi, Elo Mutual Pension Insurance, Varma Mutual Pension Insurance, Schwarz Group, Winbond Electronics, EIC, and Bayern Kapital. Goldman Sachs International (GS) acted as the placement agent.
The company plans to use the capital to expand global data centers, build new assembly lines, and boost chip fabrication in Finland. The roadmap aims to achieve fault-tolerant systems by 2030, targeting a scale of one million qubits.
Faster Software for Quantum Circuits
In research backed by Q-CTRL, Nvidia, and Oxford Quantum Circuits, scientists introduced a method called Delta Motif to improve circuit compilation. The approach relies on data tools such as Pandas and Numpy, and it runs on Nvidia Rapids for parallel work on GPUs. Tests showed speed gains of nearly 600 times over baseline methods.
This result matters because circuit compilation is a core step before quantum systems can run large programs. Beyond quantum, the method could also help with network studies, health data, and cyber use cases.
Quantum Circuits Adds CUDA Q
Quantum Circuits, based in New Haven, announced the use of Nvidia’s CUDA Q in its Aqumen software. The Aqumen Seeker system is the first commercial unit featuring dual-rail qubits and on-chip error checks. The design cuts down on qubit overhead and raises fidelity.
Users can first run apps on the AquSim simulator before shifting to live machines. The setup offers universal gates, feedforward, and conditional runs, which are needed for hybrid tasks. The deal marks an early path to fault tolerance and positions CUDA Q as a link between quantum and high-performance computing.
Norma Shows Gains in Drug Work
Seoul-based Norma worked with Kyung Hee University Hospital to test its quantum AI models on Nvidia’s CUDA Q platform. Results showed forward runs up to 73 times faster and backward runs up to 42 times faster than CPU simulators. In direct tests, the new Nvidia GH200 chip cut run times by about 22% to 24% compared to the prior H200.
The firm says the work will move from health into areas such as defense and finance. These gains show the value of using GPU support for quantum software before hardware is ready.
ETF Interest Rises
We conclude our quantum update with Defiance ETFs reporting that its Quantum Computing ETF (QTUM) has passed $2 billion in assets under management. The fund holds a five-star rating from Morningstar and tracks the BlueStar Quantum Computing and Machine Learning Index.
Launched in 2018, QTUM owns shares of firms such as D-Wave Quantum (QBTS), IonQ (IONQ), and Rigetti Computing (RGTI). The market for quantum is projected to reach between $90 billion and $170 billion by 2040. Investors view the fund as a way to participate in the growth story without direct single-stock risk.
We used TipRanks’ Comparison Tool to line up some of the top quantum stocks and other tickers mentioned in this piece. It’s an easy way to see how they compare and get a sense of where the space might be headed.
